// school · data-engineering
⚙️Data Engineering
Master SQL, pipeline architecture, and real-time data systems. The most in-demand foundation skill in the AI economy.
Start This School// career outcomes
Where This School Takes You
// core skills
What You Will Master
// your path
Path Through This School
Phase 01
Foundation
Prove your fundamentals. Python, Git, SQL, APIs, Docker, and AI basics — calibrated to your level before you touch Data Engineering.
Phase 02
Build
Work through real Data Engineering tickets inside virtual companies. Ship features, fix bugs, and build systems under production constraints.
Phase 03
Prove
Every submission is scored across 5 dimensions. Build a verified Proof-of-Competency profile that proves you can do the work of a Data Engineer.
// your faculty
Your Faculty
Dr. Emeka Adeyemi
Dean
Authoritative and warm. Speaks rarely but every word carries weight. Frames every milestone in terms of the learner’s long-term trajectory.
Marcus
Lead Instructor
Methodical and patient. Walks through problems step by step. Obsessed with data quality and pipeline reliability.
Tomás
PostgreSQL, query optimization, schema design
Rina
Airflow, Kafka, dbt, streaming
Kwame
Dimensional modeling, data warehousing
Ready to start Data Engineering?
Begin with Foundation. Prove your baseline. Then build real systems.
Start Building